\section{Introduction}

Autonomous Negotiation is an important topic in the multiagent field.
It has a broad range of applications, it can be used in most complex distributed systems, like for example e-commerce or logistics. 
There are many different negotiation protocols, meaning rules of communication.
Negotiation can be either sequential or concurrent, about a single issue or multiple issues, the issues can be independent or interdependent, etc.
This report describes an autonomous negotiation agent, which was developed in the context of an assignment for the Multi-Agent Systems course at Maastricht University.
This agent uses a sequential negotiation protocol.
This means that both agents are executing actions alternately. The agents negotiate multiple issues at the same time.
The remainder of this report is divided into the following sections. In section 1.1 the Negotiating System Genius is explained and section 1.2 describes the assignment in detail. 
In section 2 the negotiation strategy which was chosen for the agent developed in the context of this report is shown.
Section 3 describes the agent itself and in section 4 the performance of the agent is evaluated. Lastly in section 5 a conclusion is given.

\subsection{Negotiating System Genius}

Genius is a software platform for autonomous negotiation agents.
It is the standard software used for academic research in the field of autonomous negotiation.
Genius includes various negotiation agents, negotiation problems and analytical tools to evaluate an agent's performance.
Genius is also used for the International Automated Negotiating Agents Competition (ANAC).\cite{genius}

\subsection{Assignment}

For the Multi-Agent Systems course at Maastricht University, the students were given the task to develop an autonomous negotiation agent themselves.
This agent has to be able to negotiate in multi-issue domains.
It has to be tested in the Energy, Fifty fifty, Airport Site Selection, Outfit and Itex vs Cypress domain which are all included in Genius.
For these tests the opposing agents are CUHKAgent, AgentLG, OMACagent, Negotiator Reloader and BRAMAgent2.
At the end of the course there will be a tournament between the agents developed by the students.
The winners of the tournament will get to participate in ANAC-2013. 
